The pandemic of Coronavirus diseases occurred in the Republic of Korea from 19 January 2020. By March 2020, Korea had reported the second largest number of Coronavirus patients in the world. On the anniversary date (2021), however, with a 51.3 M population, Korea has had 73.115 K patients with 1.283 K deaths, and this stands at 86th in the world. On average, Korea has 14.3 patients per 10,000 people. Air-parcel trajectory analysis and airflows show that in the general westerly region, air parcels and pollutants could flow out and in all directions. This suggests initially that Coronaviruses from source areas in China could transmit to many sink regions and sectors including 228 subdivided counties in Korea. However, there were only relatively small numbers of Coronavirus patients in western sea sides of the Korean Peninsula in comparison with large numbers of Coronavirus disease patients in cities and in eastern sides. In particular, three counties in Korea, including Ong-jin, Mooju and Chang-heung, have zero than in the outdoor environments.The planet Earth has become increasingly susceptible to human-induced (anthropogenic) ecological disasters. The currently raging COVID-19 pandemic adds to the vast scale of destruction and suffering that humanity and the planet are experiencing. In this paper we explicate the meaning of 'human-induced' destruction in the terms of the damaging and hurting metaphysics (beyond the physical or material) that modern humanity has been entertaining in their conceptual and emotional minds and materially projecting onto the world. In turn, the damaging and hurting metaphysics is explicated in the terms of atomism that conceives all existents as self-existing and independent, necessarily engaged in competition against each other for survival. We propose to replace such metaphysics with one of the processual ontologies, such as that of Alfred North Whitehead, in which humans see themselves and each other as continuously interfusing and co-creatively re/e/merging relata of complete interdependence. This way, all of us, all the time, become "one with The Ten Thousand Things."-an expression in Chinese for the phenomenal world of thriving diversity and conviviality. We further explore self-cultivation of inner work that aids the shift from ego self to eco self, such as meditative and arts-based practices.'Post-acute coronavirus disease 2019 (COVID-19) syndrome' is a new term that was coined to describe a constellation of persistent symptoms and new complications following recovery from COVID-19 initial illness. Identifying post-COVID-19 complications is crucial for early diagnosis and subsequent initiation of therapies to ensure more favorable outcomes. Severe COVID-19-related hemophagocytic lymphohistiocytosis (HLH) has been previously described during the acute phase of the infection. It is characterized by hyperinflammation, multi-organ involvement, and hemophagocytosis. We report the case of a 69-year-old woman who presented, two weeks after recovery from COVID-19, with hyperosmolar state and high inflammatory markers. Bone marrow aspirate, flow cytometry, extensive viral panel and total body scan were performed. Review of bone marrow aspirate smear showed hemophagocytosis. Flow cytometry, viral panel, and total body scan were normal. The diagnosis of post COVID-19-related HLH was made. Unfortunately, the patient died despite adequate treatment. To our knowledge, this is the first case establishing a high probability of COVID-19-related HLH given its occurrence two weeks following a documented biological and clinical recovery. Awareness and early recognition of HLH features following COVID-19 recovery should prompt timely initiation of therapy.Conventional understanding of how enzymes function strongly emphasizes the role of structure. However, increasing evidence clearly indicates that enzymes do not remain fixed or operate exclusively in or close to their native structure. Different parts of the enzyme (from individual residues to full domains) undergo concerted motions on a wide range of time-scales, including that of the catalyzed reaction. Information obtained on these internal motions and conformational fluctuations has so far uncovered and explained many aspects of enzyme mechanisms, which could not have been understood from a single structure alone. Although there is wide interest in understanding enzyme dynamics and its role in catalysis, several challenges remain. In addition to technical difficulties, the vast majority of investigations are performed in dilute aqueous solutions, where conditions are significantly different than the cellular milieu where a large number of enzymes operate. In this review, we discuss recent developments, several challenges as well as opportunities related to this topic. The benefits of considering dynamics as an integral part of the enzyme function can also enable new means of biocatalysis, engineering enzymes for industrial and medicinal applications.COVID-19 pandemic has created an extreme pressure on the global healthcare services. Fast, reliable, and early clinical assessment of the severity of the disease can help in allocating and prioritizing resources to reduce mortality. In order to study the important blood biomarkers for predicting disease mortality, a retrospective study was conducted on a dataset made public by Yan et al. in [1] of 375 COVID-19 positive patients admitted to Tongji Hospital (China) from January 10 to February 18, 2020. Demographic and clinical characteristics and patient outcomes were investigated using machine learning tools to identify key biomarkers to predict the mortality of individual patient. A nomogram was developed for predicting the mortality risk among COVID-19 patients. Lactate dehydrogenase, neutrophils (%), lymphocyte (%), high-sensitivity C-reactive protein, and age (LNLCA)-acquired at hospital admission-were identified as key predictors of death by multi-tree XGBoost model. The area under curve (AUC) of the nomogram for the derivation and validation cohort were 0.961 and 0.991, respectively. https://www.selleckchem.com/products/lithium-chloride.html An integrated score (LNLCA) was calculated with the corresponding death probability. COVID-19 patients were divided into three subgroups low-, moderate-, and high-risk groups using LNLCA cutoff values of 10.4 and 12.65 with the death probability less than 5%, 5-50%, and above 50%, respectively. The prognostic model, nomogram, and LNLCA score can help in early detection of high mortality risk of COVID-19 patients, which will help doctors to improve the management of patient stratification.